AI and Organoids: Emerging Frontiers in Modern Pharmacy

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Bol AI and Organoids: Emerging Frontiers in Modern Pharmacy* provides an accessible introduction to two rapidly developing areas shaping modern pharmaceutical research: artificial intelligence and organoid technology. Designed primarily for undergraduate students and early-stage learners, the book offers a concise glimpse into emerging concepts rather than serving as a detailed textbook or examination guide.It introduces AI technologies such as machine learning, deep learning, graph neural networks, generative models, reinforcement learning, and large language models, with applications in target identification, virtual screening, lead optimization, ADMET prediction, drug repurposing, and clinical development.The book then explores organoid technology, including patient-derived organoids, organoid-on-a-chip systems, organoid intelligence, toxicity assessment, cancer research, nanoparticle delivery, and precision medicine. It also highlights how machine learning can complement organoid-based research by analyzing complex imaging and electrophysiological data. Alongside these opportunities, the book provides an overview of important challenges including data quality & reproducibility.

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AI and Organoids: Emerging Frontiers in Modern Pharmacy* provides an accessible introduction to two rapidly developing areas shaping modern pharmaceutical research: artificial intelligence and organoid technology. Designed primarily for undergraduate students and early-stage learners, the book offers a concise glimpse into emerging concepts rather than serving as a detailed textbook or examination guide.It introduces AI technologies such as machine learning, deep learning, graph neural networks, generative models, reinforcement learning, and large language models, with applications in target identification, virtual screening, lead optimization, ADMET prediction, drug repurposing, and clinical development.The book then explores organoid technology, including patient-derived organoids, organoid-on-a-chip systems, organoid intelligence, toxicity assessment, cancer research, nanoparticle delivery, and precision medicine. It also highlights how machine learning can complement organoid-based research by analyzing complex imaging and electrophysiological data. Alongside these opportunities, the book provides an overview of important challenges including data quality & reproducibility.


Productspecificaties

Merk LAP LAMBERT Academic Publishing
EAN
  • 9786630465679
Maat


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